AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

• AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)

  In honor of National Safety Month, this special compilation episode of AI and the Future of Work brings together powerful conversations with four thought leaders focused on designing AI systems that protect users, prevent harm, and promote trust. Featuring past guests:Silvio Savarese (Executive Vice President and Chief Scientist, Salesforce) -Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/15548310Navindra Yadav (Co-founder & CEO, Theom) -  Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/12370356Eric Siegel (CEO, Gooder AI & Author ) -  Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/14464391Ben Kus (CTO, Box) -  Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/14789034✅ What You’ll Learn: What it means to design AI with safety, transparency, and human oversight in mindHow leading enterprises approach responsible AI development at scaleWhy data privacy and permissions are critical to safe AI deploymentHow to detect and mitigate bias in predictive modelsWhy responsible AI requires balancing speed with long-term impactHow trust, explainability, and compliance shape the future of enterprise AI  ResourcesSubscribe to the AI & The Future of Work Newsletter: https://aiandwork.beehiiv.com/subscribe Other special compilation episodes Ethical AI in Hiring: How to Stay Compliant While Building a Fairer Future of Work (HR Day Special Episode)Data Privacy Day Special Episode: AI, Deepfakes & The Future of TrustThe Future of AI Ethics Special: Perspectives from Women Leaders in AI on Bias, Accountability & TrustWorld Health Day Special: How AI Is Making Healthcare Smarter, Cheaper, and Kinder

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• 341: How AI is Changing Education: The Future of Accessible Learning with Marni Baker Stein, Coursera CCO

  Marni Baker Stein is the Chief Content Officer at Coursera, the global learning platform with over 175 million learners and partnerships across 6,200 campuses, businesses, and governments. She leads Coursera’s content and credential strategy and manages global partner relationships. Before joining Coursera, Marni was Chief Academic Officer and Provost at Western Governors University, where she oversaw programs for more than 135,000 students. She has also held leadership roles focused on access, student success, and program design at the University of Texas, Columbia University, and the University of Pennsylvania. Marni earned her PhD in Educational Leadership from the University of Pennsylvania.In this conversation, we discuss:How AI is shifting education from one-size-fits-all to personalized, contextualized learning tailored to each studentWhy microcredentials and stackable learning are replacing traditional degrees as the new path for lifelong learnersThe role of educators in the AI era and why they should be part of the solution, not sidelined by automationWhat it means for universities to stay relevant as learning becomes more modular, flexible, and job-alignedWhy GenAI is fueling demand for both technical skills and enduring human abilities like critical thinking and communicationHow tools like AI tutors, instant translations, and proctoring are democratizing access and preserving integrity at scaleResources:Subscribe to the AI & The Future of Work NewsletterConnect with Marni on LinkedInAI fun fact articleOn How To Identify The Power of Product and Listening to Your Customers. Past episodes mentioned in this conversation:[With Dave Marchick, Dean of the Kogod School of Business] - On How AI is Changing Academia[Chris Caren, Turnitin CEO] - On using AI to prevent students from cheating plus lessons for leaders on innovation and team culture

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• 340: Critical Thinking over Code: Tess Posner, AI4ALL CEO, on Raising Responsible AI Leaders

  Tess Posner is the CEO and founding leader of AI4ALL, a nonprofit that works to ensure the next generation of AI leaders is diverse and well-quipped to innovate. Since joining in 2017, she has focused on embedding ethics, responsibility, and real-world impact into AI education. Her work connects students from underrepresented backgrounds to hands-on projects and mentorships that prepare them to lead in tech. Beyond her role at AI4ALL, Tess is a musician whose 2023 EP Alchemy has over 600,000 streams on Spotify. She was named a 2020 Brilliant Woman in AI Ethics Hall of Fame Honoree and holds degrees from St. John’s University and Columbia University.In this conversation, we discuss:Why AI literacy is becoming essential for everyone, from casual users to future developersThe role of project-based learning in helping students see the real-world impact of AIWhat it takes to expand AI access for underrepresented communitiesHow AI can either reinforce bias or drive real change, depending on who’s leading its developmentWhy schools should stop penalizing AI use and instead teach students to use it with curiosity and responsibilityTess’s views on balancing optimism and caution in the development of AI toolsResources:Subscribe to the AI & The Future of Work NewsletterConnect with Tess on LinkedIn or learn more about AI4ALLAI fun fact articleOn How To Build and Activate a Powerful NetworkPast episodes mentioned in this conversation:[With Tess in 2020] - About what leaders do in a crisis[With Tess in 2019] - About how to mitigate AI bias and hiring best practices [With Chris Caren, Turnitin CEO] - On Using AI to Prevent Students from Cheating[With Marcus "Bellringer" Bell] - On Creating North America’s First AI Artist

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• 339: AI Anxiety and Burnout: Brian Elliott, Work Forward CEO, on Building Trust in the Workplace

  Brian Elliott is one of the most recognized future of work thought leaders and the CEO of Work Forward, where he advises senior leaders on how to build better organizations. A former senior executive at Slack, Brian is also the bestselling author of How the Future Works: Leading Flexible Teams to Do the Best Work of Their Lives. His insights have been published in Harvard Business Review and Fortune, and cited in Time, Bloomberg, CNBC, The Economist, and Forbes. He holds a BA in Math and Economics from Northwestern and an MBA from Harvard.In this conversation, we discuss:Brian Elliott’s leadership journey from Google and Slack to founding Work Forward and advising companies on building healthier workplace cultures.Why alignment, accountability, and shared purpose matter more than hustle culture in scaling organizations effectively.The hidden risks of AI at work, including why employees often use it in secret out of fear of punishment or judgment.The growing tension between executives and employees in an era of midnight layoffs, return-to-office mandates, and AI-induced anxiety.How progressive leaders can create space for experimentation with AI and lead with fallibility instead of fear.Why the future of work depends on creating space for learning, building trust, and valuing human craftsmanship in an AI-powered world.Resources:Subscribe to the AI & The Future of Work Newsletter: https://aiandwork.beehiiv.com/subscribeConnect with Brian on LinkedIn: https://www.linkedin.com/in/belliott/AI fun fact article: https://ashugarg.substack.com/p/nvidias-ai-factory-betOn How To Deliver IT Service To The Legal Industry: https://podcasts.apple.com/us/podcast/jim-mckenna-serial-cio-and-legaltech-expert-discusses/id1476885647?i=1000624398232

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• 338: From Extraction to Understanding: Martin Goodson, CEO of Evolution AI, on Why AGI Is The Wrong Goal

  Dr. Martin Goodson is the founder and CEO of Evolution AI, a company he launched in 2012 to apply deep learning to optical character recognition (OCR). The company has received one of the largest AI R&D grants ever awarded by the UK government, along with investment from First Minute Capital. A former scientific researcher at Oxford University, Martin has led AI research across several organizations and was elected Chair of the Data Science and AI Section of the Royal Statistical Society in 2019.In this conversation, we discuss:Martin Goodson’s journey from researching biological data to founding Evolution AI and pioneering deep learning for document understanding.Why traditional OCR missed the mark, and how combining visual and linguistic context unlocked a new frontier in document intelligence.The evolution from data extraction to true financial analysis, and why domain knowledge is essential for reading statements like income reports.The risks of LLM hallucinations, especially with numerical data, and why accuracy still requires combining techniques across model types.What Martin believes intelligence really is, and why language alone may be the wrong benchmark for AGI.Why recreating human intelligence shouldn’t be the goal of AI research, and how we can build systems that support, not mimic, human thinking.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Martin on LinkedInCheck out the YouTube channel of the London Machine Learning MeetupAI fun fact articleOn How to Ovecome Imposter SyndromePast episodes mentioned:On Why doing Taxes is like finding the Best Route on a Map with Daniel MarcousOn Making AI Smarter Without Harming Humans with Peter Voss

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